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- Tasks: Analyse data, create reports, and support risk-related projects.
- Company: Join Electronic Merchant Systems, a leading financial technology provider for merchants.
- Benefits: Enjoy mentorship, growth opportunities, and a collaborative work environment.
- Why this job: Make a real impact with data insights while working closely with senior stakeholders.
- Qualifications: Bachelor’s in STEM, strong SQL skills, and experience with data visualisation tools required.
- Other info: Full-time role with a focus on data integrity and teamwork.
The predicted salary is between 28800 - 42000 ÂŁ per year.
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Join to apply for the Junior Data Analyst/Data Scientist role at Electronic Merchant Systems
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Financial Technology company Electronic Merchant Systems (EMS), is a Private Equity owned industry-leading merchant solutions and payments provider.
EMS offers payment processing solutions for retail and eCommerce merchants through three distinct go-to-market sales channels, with a focus on eCommerce and small-to-medium sized merchants. EMS delivers innovative, cost-effective payment solutions to tens of thousands of retail, online, and start-up businesses across the United States. With a seasoned leadership team, a scalable platform, and unique distribution channels, EMS is well-positioned to capitalize on growth opportunities and expand its merchant network.
About the role
We’re looking for a Junior Data Analyst or Data Scientist to join our growing Data team. While the role will primarily focus on risk-related projects and analytics , you’ll also contribute to a broad range of data initiatives across the business. You’ll collaborate closely with analysts and data engineers to align back-end data structures with the front-end needs of the business. This role offers strong exposure to senior stakeholders, giving you the chance to turn data insights into tangible business impact and help drive meaningful change.
Key Responsibilities
- Design, develop, and maintain reports and dashboards to support business visibility and decision-making (with an initial focus on risk)
- Build scalable code by integrating multiple data sources to support reporting and analysis
- Analyze data to identify trends, success indicators, and performance insights that inform key business decisions
- Support the automation and streamlining of manual risk reporting processes to improve efficiency
- Collaborate with data engineers, analysts, and stakeholders to ensure data quality and accuracy
- Contribute to data governance and data management practices to maintain high standards of data integrity across teams
Requirements
- Bachelor’s degree in a STEM related discipline
- Strong proficiency in SQL for querying and transforming large and varied datasets, and experience in at least one programming language (Python or R)
- Hands-on experience with data visualization tools such as Power BI, Tableau, or Qlik
- Demonstrated advanced analytical skills, including the ability to interpret complex data, identify key trends, and generate actionable insights in clear PowerPoint presentations
- Advanced Excel skills, including formulas, pivot tables, and data manipulation
- Excellent communication skills, with the ability to work effectively with both technical and non-technical stakeholders.
- High attention to detail with a strong commitment to data accuracy and quality
- A proactive and curious mindset, with a willingness to learn and adapt in a fast-paced, evolving environment.
What we offer
- A chance to be a part of a mission-critical team driving data-informed decision making
- Mentorship and growth opportunities in the data analytics and risk space
- Access to training, tools and resources to support technical and non-technical development
- A collaborative, supportive and inclusive environment
EMS Core Values
- One Team: Engage and connect by fostering open dialogue and building trust through clear and effective communication. Be respectful of your teammates as we all strive for a common goal
- Professionalism: Exceed expectations by demonstrating expertise and professionalism in every interaction. Elevate standards by upholding integrity, respect, and excellence in all aspects of your work
- Accountability: Drive results by taking initiative and delivering measurable outcomes consistently. Own it by embracing challenges head-on and getting it done
- Urgency: Act swiftly by prioritizing tasks and executing with speed and precision. Stay laser-focused by maintaining clarity and concentrating on what truly matters. Get the right things done
Seniority level
-
Seniority level
Associate
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology and Analyst
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Junior Data Analyst/Data Scientist employer: Electronic Merchant Systems
Contact Detail:
Electronic Merchant Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Analyst/Data Scientist
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as SQL, Python or R, and data visualisation tools like Power BI or Tableau. Having hands-on experience with these will not only boost your confidence but also demonstrate your readiness for the role.
✨Tip Number 2
Engage with the company’s online presence, especially on platforms like LinkedIn. Follow Electronic Merchant Systems, interact with their posts, and connect with current employees to gain insights into their culture and values, which can help you tailor your approach during interviews.
✨Tip Number 3
Prepare to discuss real-world examples of how you've used data to drive decisions or improve processes. This could be from academic projects or previous work experiences. Being able to articulate your thought process and results will set you apart from other candidates.
✨Tip Number 4
Showcase your proactive mindset by preparing questions that reflect your curiosity about the role and the company. Asking insightful questions during the interview can demonstrate your enthusiasm and commitment to contributing positively to the team.
We think you need these skills to ace Junior Data Analyst/Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the Junior Data Analyst/Data Scientist role. Emphasise your proficiency in SQL, programming languages like Python or R, and any experience with data visualisation tools.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analytics and your understanding of the role's responsibilities. Mention specific projects or experiences where you've successfully analysed data or contributed to decision-making.
Showcase Analytical Skills: In your application, provide examples of how you've used analytical skills to interpret complex data and generate insights. Use clear metrics or outcomes to demonstrate your impact on previous projects.
Highlight Communication Abilities: Since the role involves collaborating with both technical and non-technical stakeholders, emphasise your communication skills. Include examples of how you've effectively conveyed data insights to diverse audiences.
How to prepare for a job interview at Electronic Merchant Systems
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL and any programming languages like Python or R during the interview. Be prepared to discuss specific projects where you've used these skills, as this will demonstrate your capability to handle the technical aspects of the role.
✨Prepare for Data-Driven Questions
Expect questions that assess your analytical skills and ability to interpret complex data. Practice explaining how you identify trends and generate insights from data, as this is crucial for the Junior Data Analyst/Data Scientist position.
✨Demonstrate Communication Skills
Since you'll be working with both technical and non-technical stakeholders, it's important to showcase your communication skills. Prepare examples of how you've effectively communicated complex data findings in a clear and concise manner, perhaps through presentations or reports.
✨Emphasise Your Proactive Mindset
The role requires a proactive and curious approach to learning. Share instances where you've taken the initiative to improve processes or learn new tools, as this aligns with the company's values and shows your commitment to growth.